Bachelor of Computer Science (Hons.) Artificial Intelligence

As computer systems increase their complexity and sophistication, the demand for intelligent advanced applications also increases in proportion. It is now common practice to incorporate intelligent capabilities in the design of any computer application, from web-based intelligent search engines to standalone intelligent applications. The objective of this three-year degree programme is to equip students with the necessary knowledge and skills required to be successful in building the much-needed intelligent computer systems.

Career Prospects:

• Data Scientist
• Intelligent Software Developer
• AI Consultant
• Knowledge Engineer
• Software Engineer
• Web Analyst

1. Pass in Foundation or Matriculation studies from a recognised institution with a minimum CGPA of 2.00; OR
2. A pass in STPM with a minimum of Grade C (CGPA 2.00) in any TWO (2) subjects or any equivalent qualification; OR
3. A pass in STAM with a minimum grade of Jayyid in any TWO (2) subjects; AND a credit in:
   1. Additional Mathematics at SPM Level or its equivalent; OR
   2. Mathematics and any one of the Science,  Technology or Engineering subjects at SPM Level or its equivalent*; OR
4. Pass STPM in Science Stream or its equivalent with a minimum of Grade C (GP 2.00) inclusive of Mathematics and one Science / ICT subject; OR
5. Pass A-Level with a minimum of Grade D in Mathematics and one Science / ICT subject; OR
6. Pass UEC with a minimum of Grade B in at least five (5) subjects inclusive of Mathematics, English and one Science / ICT subject; OR
7. Diploma in Computing (Level 4, MQF) or its equivalent with a minimum CGPA of 2.50. Candidates with a CGPA below 2.50 but more than 2.00 may be admitted subject to a thorough internal evaluation process; OR
8. Any Diploma in Science and Technology (Level 4, MQF) with a minimum CGPA of 2.75. Candidates with a CGPA below 2.75 but more than 2.00 may be admitted subject to a thorough internal evaluation process; OR
9. Pass DKM /DLKM/DVM in Computing fields with a minimum CGPA of 2.50 subjected to HEP Senate / Academic Board’s approval. Candidates with CGPA below 2.50 but more than 2.00 must have at least two (2) years of work experience in the related field or may be admitted subject to a thorough internal evaluation process**;

Note:

* Candidates for category (b) need to take a reinforcement Mathematics with appropriate topics in the discipline of Computer Science, Data Science or Software Engineering at the beginning of the study.

Students are required to pass the reinforcement Mathematics as a prerequisite before being allowed to take  related core courses. The candidate can sit for any subjects that did not indicate Mathematics as a pre-requisite.

Reinforcement Mathematics can contribute to the overall graduating credit.

Students from Matriculation/Foundation or its equivalent can be exempted from taking the Reinforcement Mathematics, provided that the Mathematics offered at that programme level is equivalent / more than the Additional Mathematics offered at an SPM level.

** DKM/DLKM/DVM candidates may be required to undergo Bridging Programme as an additional requirement.

Core Subjects
Year 1

• Mathematical Techniques
• Computer Programming
• Database Systems
• Operating Systems
• Discrete Mathematics and Probability
• Computer Architecture and Organisation
• Data Communications and Networking
• Ethics and Professional Conducts
• U2
• U3
• U4

Year 2

• Data Structures and Algorithms
• Object Oriented Programming
• System Analysis and Design
• Technopreneur Venture
• Human Computer Interaction
• Machine Learning
• Software Engineering Fundamentals
• Web Techniques and Application
• Pattern Recognition
• Industrial Training
• Programming Language Concept
• Artificial Intelligence Fundamentals
• Elective 1

Year 3

• Project
• Computational Intelligence
• Computer Networks
• Expert Systems
• Computer Vision
• Natural Language Processing
• Algorithm Design and Analysis
• Semantic Web Technology
• Elective 2
• Elective 3
• Elective 4
• U1

Elective Subjects
(Choose any 4 subjects)

• Project Management for Business Analysis
• Introduction to Bioinformatics
• Cloud Computing
• Applied Cryptography
• Data Analytics Fundamentals
• Data Mining and Machine Learning
• Internet of Things Fundamentals
• Data Wrangling and Visualization
• Management of Information Security
• Business Statistical Analysis

University Subjects

• U1 – MPU3113 Hubungan Etnik AND MPU3123 Tamadun Islam dan Tamadun Asia (Local) – MPU3143 Bahasa Komunikasi 2 AND MPU3173 Pengajian Malaysia 3 (International)
• U2 – Subject code starts with MPU32XX (for local student who got exemption in SPM Bahasa Melayu & for International Students). MPU3210 Bahasa Kebangsaan A (for local student without credit in SPM Bahasa Melayu)
• U3 – Subject code starts with MPU33XX
• U4 – Subject code starts with MPU34XX